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breathtestcore: 13C breath test to analyze gastric emptying

Dieter Menne
Menne Biomed Consulting Tübingen, Germany

This is a reboot of R package dmenne/d13cbreath which is partially obsolete.

What it does

Sponsors and supporters

The software is being developed in cooperation with the Department of Gastroenterology of the University Hospital of Zürich and Claraspital Basel. Thanks to Benjamin Misselwitz, Mark Fox and Werner Schwizer. Special thanks to Andreas Steingötter for constantly reminding me that better statistics does necessarily make a method physiologically relevant.

How to install

To install the most recent versions of the package, use

devtools::install_github("dmenne/breathtestcore", build_vignettes = TRUE)
# In case you want to use the fancy Stan-based methodes
# And here the web app; this is not yet on CRAN and must be installed from github
devtools::install_github("dmenne/breathtestshiny", build_vignettes = TRUE)

Do not forget to use build_vignettes = TRUE.

Stable version of the packages breathtestcore and breathteststan can also be installed from CRAN. Since packages are under strong development, we recommend to use the github versions.

The Docker image contains RStudio, package gastempt to analyze MRI/scintigraphic gastric emptying data, and the breathtestshiny app.

You can run the [web app online]{}. No data are stored, but you can download all results and a series of tests for studies.

Usage example

This example is from the documentation of function nlme_fit.

d = simulate_breathtest_data(n_records = 3, noise = 0.2, seed = 4711)
data = cleanup_data(d$data)
fit = nlme_fit(data)
plot(fit) # calls plot.breathtestfit

For additional examples, see the documentation and the tests in folder tests/testthat of the source package.


The core fitting functions and the Stan variants are reasonably stable and can be used to analyze your breath test data with R. The Shiny web app with reporting is work in progress; online demo, source code.